Linking clean energy consumption, globalization, and financial development to the ecological footprint in a developing country: Insights from the novel dynamic ARDL simulation techniques.

Developing countries have been facing economic difficulties for over three and a half decades due to numerous factors, including fossil fuel consumption and dwindling biocapacity. It is necessary to pinpoint the factors that may be culpable for poor environmental quality leading to a rising ecological footprint (EFP). This study explores the effect of clean energy, financial development (FDV), and globalization on the EFP in a developing country using the novel dynamic ARDL simulation techniques and the bootstrap causality test. The findings suggest that green energy has no meaningful impact on the EFP. Globalization and FDV significantly reduce the EFP by 0.25% and 0.08%, respectively. Besides, the findings confirm the existence of the EKC hypothesis. Furthermore, the causality results affirm a unidirectional causality from globalization and FDV to EFP, while economic growth drives globalization. Also, a one-way causality flows from globalization to FDV, just as FDV Granger causes green energy. In line with the findings, the study recommends that public policies focus on funding environmental-friendly technologies and green innovations. The funding must be on recently developed energy-saving technologies that can ensure complementarity between increased economic growth and environmental deterioration.

Revisiting environmental Kuznets curve: an investigation of renewable and non-renewable energy consumption role.

Empirical studies on the environmental Kuznets curve (EKC) hypothesis have not reached a consensus on their findings because different environmental indicators are used, among other reasons. So, this study proposes using a composite index encompassing all dimensions of environmental pollution, using the composite environmental quality index (CEQI) which is introduced by Fakher et al. (Environ Sci Pollut Res 28(43): 61096-61114, 2021b). To do so, continuously updated fully modified (CUP-FM) and continuously updated bias-corrected (CUP-BC) techniques are used for the panel of selected Organisation for Economic Co-operation and Development (OECD) countries and Organization in the Petroleum Exporting Countries (OPEC) from 2000 to 2019. The findings show that the EKC hypothesis is confirmed in the inverted N-patterned relationship for the OPEC countries and an inverted U-patterned relationship for the OECD countries. Our findings also declare that consumption of renewable energies (REC) significantly increases environmental quality (EQ) while consumption of non-renewable energies (NREC) adds to environmental degradation (ED). Further, the role of financial development (FD) in our composite index is respectively negative and positive for sampled OPEC and OECD economies. The positive coefficient of combined trade share (CTS) in both groups of studied countries indicates that this variable works to reduce ED. Lastly, the implications of these findings for economic-environmental policies are discussed.

Exploring renewable energy, financial development, environmental quality, and economic growth nexus: new evidence from composite indices for environmental quality and financial development.

The association between trade, financial development, consumption of renewable energy, environmental quality, foreign direct investment, and economic growth is important for sustainable growth and environmental strategies. Hence, this research unveils this association in selected low- and high-income economies from 1996 to 2020. Unlike most of the previous literature, this study uses a composite environmental quality index, a composite financial development index, and a composite trade share measure to better represent environmental quality, financial development, and trade openness, respectively. The Continuously Updated Fully Modified and Continuously Updated Bias Corrected estimators along with the Dumitrescu Hurlin causality method are utilized to scrutinize the nature of the linkage between the modeled variables. The long-run estimation provided that consumption of renewable energy and environmental quality augment economic growth in high-income nations, while both these variables do not contribute to the economic growth in low-income countries. Financial development upsurges economic growth in high- as well as low-income nations. Interestingly, trade openness boosts economic growth in high-income countries, while in low-income countries, it obstructs economic growth. In causal linkage, the conservation hypothesis for low-income countries and the feedback hypothesis for high-income countries are confirmed in the context of consumption of renewable energy and economic growth association. The supply-leading hypothesis for low-income countries and the feedback hypothesis for high-income countries are supported regarding the financial development-economic growth nexus. Moreover, one-way causality from growth to environmental quality and bidirectional causality between environmental quality and economic growth for low- and high-income countries are established, respectively. Lastly, exhaustive environmental and economic policies are directed.

New insight into examining the role of financial development in economic growth effect on a composite environmental quality index.

The inclusion of an index, which can be the representative of environmental quality from different aspects, seems to be of paramount significance. This issue is a major challenging one in the economic-environmental literature. This study investigates the role of financial development in economic growth effect on the composite environmental quality index (CEQI) in two groups of selected Organization of the Petroleum Exporting Countries (OPEC) and Organization for Economic Co-operation and Development (OECD) countries. In this regard, System Generalized Method of Moment (SYS-GMM) is applied to fit the research models. According to the findings, in the selected OPEC countries, financial development reinforces negative impacts of economic growth on environmental quality. In the selected OECD countries, economic growth has negative effect on the environmental quality and financial development weakens this effect. The effect of financial development on the CEQI is respectively negative and positive in OPEC and OECD countries. Moreover, in both groups of selected countries, energy consumption and economic growth have a negative impact on the CEQI; nonetheless, trade openness has a positive effect. Accordingly, some policy suggestions and new recommendations are presented for future studies, which would contribute to the better implementation of economic-environmental policies. Graphical abstract.

Investigating marginal effect of economic growth on environmental quality based on six environmental indicators: does financial development have a determinative role in strengthening or weakening this effect?

Given the complexity of the correlation of economic growth with financial development, and their interactive impacts on environmental quality, this study attempted to present new insights into indecisive outcomes from the contribution of financial development in determining the impressionability of environmental indicators under economic growth conditions. Previous studies only employed a single environmental indicator for analyzing the correlation between economic factors and environmental quality. However, six environmental indicators are adopted in this study to evaluate environmental quality and to reach major goals of this research. To this end, using 2-stage system generalized technique of moment estimator, the association of economic growth, energy consumption, financial development, environmental indicators, and trade openness is determined in selected OPEC countries for years 2010 to 2019. Findings indicated that accompanied by the effects of economic growth on any EFI, ANS, PN, and EPI variables, the financial development enhances such effect. This is while, the financial development would weaken the economic growth effect on the ESI variable. Regarding EVI, no significant association was observed. Regarding to ESI, EPI, and PN, trade openness applies a significantly positive impact on environmental quality; on the other hand, it has positive role in environmental degradation based on EFI and ANS. This is while, according to the EVI variable, trade openness has not meaningful impact on environmental status. Finally, energy use has significant and positive effects on environmental degradation in each of environmental indicators. However, this variable has not shown significant impact on EPI and ANS. Alternatively, findings indicated that financial development can be considered an important and key variable in improvement of the environmental quality due to the moderating role it plays relative to the negative economic growth effect on the environmental quality. At the end of this paper, some limitations are presented, and some suggestions for further studies are provided as well.

Investigating the determinant factors of environmental quality (based on ecological carbon footprint index).

The main objective of this study is to evaluate 22 explanatory variables on ecological footprints and rank each of them by using the two approaches of Bayesian model averaging and weighted averaging least square in developing countries. The data is in a 20-year period of 1996-2016. According to the negative weighted averaging coefficient of square of gross domestic production (GDP), the Environmental Kuznets Curve (EKC) hypothesis can be confirmed with a high degree of certainty. The probability of the effect of this variable is 95% and is part of the components of all five optimal models. The two variables of energy consumption and population density were ranked second and third with the probability of the effectiveness of 0.89 and 0.75, respectively. They have positive effects on ecological footprint index. Population growth and value added of the industrial sector have a positive and almost important relationship with ecological footprint. Other variables in this study are not strongly related to the quality of the environment. For example, the variables such as urbanization rate, literacy rate, and foreign direct investment acquired the next ranking with respect to affecting the ecological footprint, respectively. Regarding the positive effect of foreign direct investment, we can say that this leads to environmental degradation. Human development with inclusion probability of 0.26 and a coefficient of 0.009 has resulted in the reduction of environmental degradation. The intensity of economic activities has inclusion probability of 0.48 and a negative impact, which is unexpected. Indicators of financial openness and trade openness have positive and negative coefficients with fewer probabilities. The square of the capital to labor ratio has a negative sign. The square of the capital to relative labor ratio has a negative coefficient and reduces environmental degradation. The product of the trade openness in the capital to relative labor ratio (and its square) is increasing the degradation of the environment. The square of the financial development has a negative sign. This is indicative of a non-uniform relationship between financial development and the ecological footprint, which follows a U-inverse form. The interaction of financial development-economic growth has a negative sign and the inclusion probability of it is 0.31 in the model, which indicates its weak relationship with the ecological footprint. In addition, the results of the analysis of optimal models confirm largely the previous findings based on BMA and weighted averaging least squares methods.